17 Dec 25

This open course bridges GIS and data science with practical labs in R and Python.

Topics span vector and raster data, spatial weights, ESDA, clustering, and networks.


Aalto’s BDA course puts the full Gelman et al. workflow online, from priors and posteriors to Stan, hierarchical models, and cross-validation.

Lectures, assignments, and code are all open. This is a real course.


27 May 25

Notes on Benn Stancil’s post in 2021 Tilt and tilted, about the objectivity of data-driven decisions.